Healthcare organizations are rapidly adopting artificial intelligence to improve operations, streamline workflows and enhance patient care. However, as adoption accelerates, concerns about data security and governance are growing.
AI systems depend on vast amounts of structured and unstructured data, much of it sensitive patient information, making healthcare one of the industries most vulnerable to AI misuse or error.
IBM Distinguished Engineer Jeff Crume says the first step to securing AI in healthcare is acknowledging the central role of data security.
“It starts with the fundamentals of securing data, making sure only the right level of access is available, and we don’t have multiple copies of this data — shadow data — floating around,” he says.
DISCOVER: IBM helps healthcare organizations secure their data and AI initiatives.
